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How much do python programming internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python programming internship in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Programming Internship vs Python Developer?

AspectPython Programming InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's or higher in Computer Science or related field, with professional experience
Work EnvironmentInternship programs, entry-level projects, learning-focusedFull-time professional role, project development, maintenance
Employer & Industry UsageTech companies, startups, educational programsTech firms, software companies, enterprise solutions
Search & Comparison IntentLooking for entry-level opportunities or internships in PythonSeeking professional Python development roles

The main difference between a Python Programming Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining practical experience, while Python Developers are experienced professionals working on complex projects. Internships serve as a stepping stone into the industry, whereas Python Developer roles involve full project ownership and advanced skills.

What is a Python programming internship?

A Python Programming Internship is a temporary position where students or recent graduates gain practical experience working with the Python programming language. Interns typically assist with writing, testing, and debugging Python code, often contributing to software development projects under the guidance of experienced developers. This internship helps individuals apply their classroom knowledge to real-world scenarios, build a professional network, and enhance their technical skills. Python programming internships can be found in various industries, including technology, finance, data science, and more.

What types of projects can I expect to work on during a Python programming internship?

As a Python Programming Intern, you will typically work on a variety of hands-on projects such as building automation scripts, developing web applications, analyzing data, or contributing to existing codebases. Many internships involve collaborative tasks where you'll pair with experienced developers, participate in code reviews, and help troubleshoot bugs. These projects are designed to strengthen your understanding of Python and teach you best practices in software development, version control, and testing. You may also have opportunities to present your work or contribute to documentation, further developing your professional skills.

What are the key skills and qualifications needed to thrive as a Python programming intern, and why are they important?

To thrive as a Python Programming Intern, you need a solid understanding of Python fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, basic databases (e.g., SQLite, MySQL), and frameworks such as Django or Flask is often beneficial. Strong communication, eagerness to learn, and teamwork help you adapt to new technologies and collaborate effectively. These skills and qualities are crucial for contributing to projects, gaining practical experience, and growing in a real-world development environment.
What cities are hiring for Python Programming Internship jobs? Cities with the most Python Programming Internship job openings:
What are the most commonly searched types of Python Programming jobs? The most popular types of Python Programming jobs are:
What states have the most Python Programming Internship jobs? States with the most job openings for Python Programming Internship jobs include:
Python Programming Internship jobs near you
Infographic showing various Python Programming Internship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

$122K - $146K/yr

Full-time

Posted 21 days ago

Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply